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标准化单细胞 RNA 测序分析工作流程以研究果蝇卵巢。

Standardization of Single-Cell RNA-Sequencing Analysis Workflow to Study Drosophila Ovary.

机构信息

Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, Tulane Cancer Center, New Orleans, LA, USA.

Current address: Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.

出版信息

Methods Mol Biol. 2023;2677:151-171. doi: 10.1007/978-1-0716-3259-8_9.

DOI:10.1007/978-1-0716-3259-8_9
PMID:37464241
Abstract

Developments in single-cell technology have considerably changed the way we study biology. Significant efforts have been made over the last few years to build comprehensive cell-type-specific transcriptomic atlases for a wide range of tissues in several model organisms in order to discover cell-type-specific markers and drivers of gene expression. One such tissue is the ovary of the fruit-fly Drosophila melanogaster, which is a popular model system with wide-ranging applications in the study of both development and disease. Three independent studies have recently produced comprehensive maps of cell-type-specific gene expression that describe both spatiotemporal regulation of the process of oogenesis and unique transcriptomic profiles of different cell types that constitute the ovary. In this chapter, we outlined the wet-lab protocol that was followed in our recent study for sample preparation and reanalyze the resultant dataset to discuss the benchmarks in data analysis, which are fundamental to comprehensive curation of the single-cell dataset representing the fly ovary.

摘要

单细胞技术的发展极大地改变了我们研究生物学的方式。在过去的几年中,人们做出了巨大的努力来构建全面的细胞类型特异性转录组图谱,涵盖了多种模式生物的广泛组织,以发现细胞类型特异性标记物和基因表达的驱动因素。果蝇的卵巢就是这样一种组织,它是一种流行的模型系统,在发育和疾病研究中有着广泛的应用。最近有三项独立的研究产生了全面的细胞类型特异性基因表达图谱,描述了卵子发生过程的时空调节以及构成卵巢的不同细胞类型的独特转录组特征。在本章中,我们概述了我们最近的研究中用于样本制备的湿实验方案,并重新分析了结果数据集,以讨论数据分析的基准,这对于全面整理代表果蝇卵巢的单细胞数据集是至关重要的。

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本文引用的文献

1
A single-cell atlas reveals unanticipated cell type complexity in ovaries.单细胞图谱揭示了卵巢中出人意料的细胞类型复杂性。
Genome Res. 2021 Oct;31(10):1938-1951. doi: 10.1101/gr.274340.120. Epub 2021 Aug 13.
2
Multiple Niche Compartments Orchestrate Stepwise Germline Stem Cell Progeny Differentiation.多个生态位隔室协调 germline 干细胞后代的逐步分化。
Curr Biol. 2021 Feb 22;31(4):827-839.e3. doi: 10.1016/j.cub.2020.12.024. Epub 2020 Dec 23.
3
A Progressive Somatic Cell Niche Regulates Germline Cyst Differentiation in the Drosophila Ovary.
渐进式体细胞巢调控果蝇卵巢生殖细胞囊分化。
Curr Biol. 2021 Feb 22;31(4):840-852.e5. doi: 10.1016/j.cub.2020.11.053. Epub 2020 Dec 18.
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Normalization Methods on Single-Cell RNA-seq Data: An Empirical Survey.单细胞RNA测序数据的归一化方法:实证研究
Front Genet. 2020 Feb 7;11:41. doi: 10.3389/fgene.2020.00041. eCollection 2020.
5
A single-cell atlas of the developing ovary identifies follicle stem cell progenitors.一个发育中卵巢的单细胞图谱确定了卵泡干细胞祖细胞。
Genes Dev. 2020 Feb 1;34(3-4):239-249. doi: 10.1101/gad.330464.119. Epub 2020 Jan 9.
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Cell Syst. 2019 Apr 24;8(4):281-291.e9. doi: 10.1016/j.cels.2018.11.005. Epub 2019 Apr 3.
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DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighbors.DoubletFinder:基于人工最近邻算法检测单细胞 RNA 测序数据中的双细胞。
Cell Syst. 2019 Apr 24;8(4):329-337.e4. doi: 10.1016/j.cels.2019.03.003. Epub 2019 Apr 3.
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RNA velocity of single cells.单细胞 RNA 速度。
Nature. 2018 Aug;560(7719):494-498. doi: 10.1038/s41586-018-0414-6. Epub 2018 Aug 8.